the meaning of a sentence in command window
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Hi
I run a code, and it operates correctly without any error.at the end of command window i view this message:
Optimization terminated: average change in the fitness value less than options.TolFun.
does this mean that something is wrong??
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John D'Errico
el 28 de Mzo. de 2022
Editada: John D'Errico
el 28 de Mzo. de 2022
1 voto
I think you are perhaps confused. And the answers are a bit confusing too. And, of course, we don't know any characteristics of your problem. Finally, people often seem to be confused at the word "terminated" in the response. Terminated is a synonym here for "done", or perhaps "finished".
So what did GA tell you? It said that
Optimization terminated: average change in the fitness value less than options.TolFun.
It went as far as it could. It was unable to find a better solution. Of course, that does not mean a better solution does not exist. But it thinks it is happy with the result. As happy as a computer program can be, at least. You gave it a tolerance that tells it when it can stop looking, and that tolerance was satisfied. I would note that this is the termination criteria that goes along with an exitflag of 1. In the world of MATLAB optimization, that is the best possible exit flag.
Again, I often see people confused when they see the word "terminated". They think of that word in a negative sense, and it definitely can have fairly negative connotations, at least these days. Here, it just means "done".
1 comentario
shirin mhd
el 29 de Mzo. de 2022
It means, that the optimizer did not found a valid solution. The value of the fitness functions does not vary more than the parameter TolFun allows, so it is considered to be noise only.
Check your fitness function. Does it really what you expect it to do? If it is correct, reduce the limit of options.TolFun .
1 comentario
shirin mhd
el 28 de Mzo. de 2022
Walter Roberson
el 28 de Mzo. de 2022
0 votos
If your function truly is a quadartic function of one variable, then:
Evaluate the function at several different x values (at least three). Then polyfit() requesting degree 2 in order to get the quadratic coefficients.
1 comentario
shirin mhd
el 29 de Mzo. de 2022
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